Results 261 to 270 of about 4,054,189 (290)

RDFM: Robust Deep Feature Matching for Multimodal Remote-Sensing Images

IEEE Geoscience and Remote Sensing Letters, 2023
Wei An, Tianxin Shi, Fanzhi Fanzhi
exaly   +3 more sources

Bidirectional Feature Fusion and Enhanced Alignment Based Multimodal Semantic Segmentation for Remote Sensing Images

Remote Sensing
Image–text multimodal deep semantic segmentation leverages the fusion and alignment of image and text information and provides more prior knowledge for segmentation tasks.
Xili WANG, Qianqian Liu
exaly   +2 more sources

Multiloss Adversarial Attacks for Multimodal Remote Sensing Image Classification

IEEE Transactions on Geoscience and Remote Sensing
Weijie Tan, Zongyao Sha, Zhidong Shen
exaly   +3 more sources

Unsupervised Multimodal Remote Sensing Image Registration via Domain Adaptation

IEEE Transactions on Geoscience and Remote Sensing, 2023
Zhenwei Shi, Lukui Shi, Zhengxia Zou
exaly   +3 more sources

Attention Multiscale Network for Semantic Segmentation of Multimodal Remote Sensing Images

IEEE Transactions on Geoscience and Remote Sensing
Zhen Ye, Yuxiang Zhang
exaly   +2 more sources

Multimodal Remote Sensing Image Segmentation With Intuition-Inspired Hypergraph Modeling

IEEE Transactions on Image Processing, 2023
Multimodal remote sensing (RS) image segmentation aims to comprehensively utilize multiple RS modalities to assign pixel-level semantics to the studied scenes, which can provide a new perspective for global city understanding. Multimodal segmentation inevitably encounters the challenge of modeling intra- and inter-modal relationships, $i.e$ ., object ...
Qibin He 0001, Xian Sun 0001, Wenhui Diao, Zhiyuan Yan, Fanglong Yao, Kun Fu 0001   +5 more
openaire   +3 more sources

A Boosting-Based Approach for Remote Sensing Multimodal Image Classification

2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2016
Remote Sensing Images (RSI) have been used as a major source of data, particularly with respect to the creation of thematic maps. This process is usually modeled as a supervised learning task where the system needs to learn the patterns of interest provided by the user and assign a class to the rest of the image regions.
Edemir Ferreira de Andrade Jr., Arnaldo de Albuquerque Araújo, Jefersson Alex dos Santos   +2 more
openaire   +2 more sources

ADRNet: Affine and Deformable Registration Networks for Multimodal Remote Sensing Images

IEEE Transactions on Geoscience and Remote Sensing
Jin Tang, Bo Jiang, Yuan Chen
exaly   +3 more sources

Similarity Measure with Additional Modality Information for Multimodal Remote Sensing Images

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
This paper considers the problem of learning efficient similarity measure (SM) for multimodal remote sensing (RS) images. It is desirable to have a single SM that is efficient for different combinations of modes. We first consider the influence of training dataset balancing on SM efficiency.
Mykhail M. Uss, Benoît Vozel, Vladimir V. Lukin, Kacem Chehdi   +3 more
openaire   +2 more sources

Adaptive Enhancement Method for Multimode Remote Sensing Image Based on LiDAR

Mobile Networks and Applications, 2020
Currently, the multimode remote sensing (MRS) images are always enhanced with low efficiency, poor effectiveness, and long processing time. Therefore, a self-adaptive enhancement method for MRS images based on Light Detection and Ranging (LiDAR) technology is proposed. Firstly, the problem of LiDAR imaging is replaced by the problem of quadrature-based
Xuechao Zhang, Khan Muhammad 0001
openaire   +1 more source